Practical MLOps Operationalizing Machine Learning Models
English | 2021 | ISBN: 9781098103002 | 886 pages | EPUB | 19.28 MB
Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models.



Planar Antennas Design and Applications
English | 2021 | ISBN: 1032034467 | 365 pages | pdf | 34.83 MB
The increasing demand for wireless communications has revolutionised the lifestyle of today's society and one of the key components of wireless technology is antenna design. Broadband planar antennas are the newest generation of antennas boasting the attractive features required, such as broad operating bandwidth, low profile, light weight, low cost and ease of integration into arrays or Radio Frequency (RF) circuits, to make them ideal components of modern communications systems. Research into small and broadband antennas has been spurred by the rapid development of portable wireless communication devices such as cell phones, laptops and personal digital assistants.



Nietzsche's Philosophical Psychology
English | 2021 | ISBN: 0198803281 | 262 pages | pdf, epub | 2.67 MB
In Nietzsche's Philosophical Psychology, Mattia Riccardi offers a systematic account of Nietzsche's thought on the human mind. A central theme is the nature of and relation between the unconscious and conscious mind. Whereas Nietzsche takes consciousness to be a mere "surface"-as he writes in Ecce Homo-that evolved in the course of human socialisation, he sees the bedrock of human psychology as constituted by unconscious drives and affects. But



Microsoft Azure A Complete Guide - 2021 Edition
English | 2020 | ISBN: 9781867474791 | 302 pages | PDF,EPUB | 2.03 MB
This Microsoft Azure Guide is unlike books you're used to. If you're looking for a textbook, this might not be for you. This book and its included digital components is for you who understands the importance of asking great questions. This gives you the questions to uncover the Microsoft Azure challenges you're facing and generate better solutions to solve those problems.



Mathematics for Machine Learning 1st Edition
English | 2020 | ISBN: 9781108455145 | 417 pages | True PDF | 16.59 MB
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics.

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